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The combination of these three models as an ensemble was evaluated for improved predictive ability.
For each target, the scoring ensemble was evaluated using GA, CF and CF-GA methods.
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The event detection ensemble is evaluated for functionality using two hypothetical test cases representing real-world applications.
The performance of this pruned ensemble is evaluated with several UCI benchmark tasks, where base classifiers are trained with SVM, CART, and the nearest neighbor (1NN) rule, respectively.
In this study, the perceptual impact that synchronizing adjacent or near-adjacent cortical ensembles was evaluated in order to ascertain functional connectivity at the local cortical level.
These ensembles are evaluated for categorical and temporal accuracy, using a proposed SCORE that includes normalized relative operating characteristic (ROC) area and normalized number of skillful days.
The statistics of the thermal performance of an ensemble of fracture realizations was evaluated.
The k-nearest neighbor classifier was selected as the base classifier in the work of Okun and Priisalu [38] in which majority voting was chosen as the combination rules for the ensemble and the method was evaluated on gene expression cancer data.
More specifically, it was evaluated in each ensemble of networks modeled the average tendency in the fitness decay as mutations were accumulated successively in the networks, and epistatic coefficients of second, third, fourth and fifth order.
The ECMWF temperature and precipitation ensemble reforecasts are evaluated for biases in the mean, spread and forecast probabilities, and how these biases propagate to streamflow ensemble forecasts.
The ensemble simulations are evaluated using streamflow output derived by forcing the model with reference rainfall gauge data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com